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Performance analysis of thunder crystal: a crowdsourcing-based video distribution platform

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dc.contributor.authorZhou, Y.
dc.contributor.authorChen, L.
dc.contributor.authorJing, M.
dc.contributor.authorMing, Z.
dc.contributor.authorXu, Y.
dc.date.issued2018
dc.description.abstractDelivering high-definition (HD) videos to a large number of Internet users is a challenging research problem due to its heavy bandwidth consumption and inelastic quality-of-service (QoS) requirement. Different from the traditional content delivery networks and overlay peer-to-peer networks, crowdsourcing-based platforms, e.g., Thunder Crystal, deliver HD videos by renting agents' bandwidth and storage resources. Cash will be rewarded to agents based on agents' upload traffic. Online video providers, i.e., Tencent Video and YouKu, pay Thunder Crystal for its video distribution service. Therefore, a critical problem for Thunder Crystal is to evaluate the performance it can achieve, which determines Thunder Crystal's competitiveness and its bargaining power with online video providers. Although previously studied proportional video replication and random request scheduling strategy are implemented by Thunder Crystal, the system performance cannot be evaluated by simply using existing models, because of its novel business model. To address this problem, this paper proposes a theoretical framework that can analyze the performance for synchronized streaming, video-on-demand (VoD) streaming, and video downloading, which are all supported by Thunder Crystal. A differentiated bandwidth allocation is designed to boost Thunder Crystal's streaming performance by assigning downloading users more fluctuating bandwidth, which only slightly degrades downloading performance. Finally, simulation is conducted to validate the accuracy of our theoretical results.
dc.identifier.citationIEEE transactions on circuits and systems for video technology (Print), 2018; 28(4):997-1008
dc.identifier.doi10.1109/TCSVT.2016.2633255
dc.identifier.issn1051-8215
dc.identifier.issn1558-2205
dc.identifier.urihttps://hdl.handle.net/11541.2/131758
dc.language.isoen
dc.publisherIEEE
dc.relation.fundingFoundation of Shenzhen City KQCX20140519103756206
dc.relation.fundingNatural Science Foundation of China 61402114
dc.relation.fundingKongque Startup Foundation
dc.rightsCopyright 2018 IEEE
dc.source.urihttps://doi.org/10.1109/TCSVT.2016.2633255
dc.subjectagent
dc.subjectcrowdsourcing
dc.subjectvideo downloading
dc.subjectvideo streaming
dc.titlePerformance analysis of thunder crystal: a crowdsourcing-based video distribution platform
dc.typeJournal article
pubs.publication-statusPublished
ror.mmsid9916188102501831

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